Agent-Development-Kit (ADK)

This repository contains examples for learning Google's Agent Development Kit (ADK), a powerful framework for building LLM-powered agents.

Getting Started

Setup Environment

Create virtual environment.

# Create virtual environment in the root directory (agent-development-kit)
uv init
uv venv

# Activate virtual environment
# Windows PowerShell:
.venv\Scripts\Activate

# Install dependencies
uv add <PackageName>

Setting Up API Keys

1. Create an account in Google Cloud https://cloud.google.com/?hl=en
2. Create a new project
3. Go to https://aistudio.google.com/apikey
4. Create an API key
5. Assign key to the project
6. Connect to a billing account
7. Add the API key to the .env file for each Agent folder

Examples Overview

Each example is designed to build upon the previous one, gradually introducing more complex concepts.

1. Basic Agent

Simplest form of ADK agents. Create a basic agent that can respond to user queries.

2. Tool Agent

Enhance agents with tools that allow them to perform actions beyond just generating text.

3. LiteLLM Agent

LiteLLM to abstract away LLM provider details and easily switch between different models.

4. Structured Outputs

Pydantic models with output_schema to ensure consistent, structured responses from agents.

5. Sessions and State

Maintain state and memory across multiple interactions using sessions.

6. Persistent Storage

Storing agent data persistently across sessions and application restarts.

7. Multi-Agent

Orchestrate multiple specialized agents working together to solve complex tasks.

8. Stateful Multi-Agent

Build agents that maintain and update state throughout complex multi-turn conversations.

9. Callbacks

Implement event callbacks to monitor and respond to agent behaviors in real-time.

10. Sequential Agent

Create pipeline workflows where agents operate in a defined sequence to process information.

11. Parallel Agent

Leverage concurrent operations with parallel agents for improved efficiency and performance.

12. Loop Agent

Build sophisticated agents that can iteratively refine their outputs through feedback loops.

Official Documentation

For more detailed information, check out the official ADK documentation:

• https://google.github.io/adk-docs/get-started/quickstart

Project Reference

https://github.com/bhancockio/agent-development-kit-crash-course